Savitha Ramasamy 个人学术档案

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引用	4012	2037
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Suresh SundaramProfessor, Department of Aerospace Engineering, Indian Institute of Science在 iisc.ac.in 的电子邮件经过验证
Sundararajan NRetd. Prof EEE, NTU, Singapore在 ntu.edu.sg 的电子邮件经过验证
Kartick SubramanianHealth analytics data scientist at Aon Center for Innovation and Analytics在 e.ntu.edu.sg 的电子邮件经过验证
Abdullah Al MamunAssoc. Prof. of Electrical & Computer Engineering, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Tonio BuonassisiMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
ArulMurugan AmbikapathiGroup Lead and Scientist III, DL 2.0, I2R, A*Star Singapore在 ieee.org 的电子邮件经过验证
Hirose, AkiraProfessor of Physics and Engineering Physics, University of Saskatchewan在 usask.ca 的电子邮件经过验证
Krishna Kumar NagalingamKongsberg Maritime AS在 kongsberg.com 的电子邮件经过验证
Dr. Mahanand B SProfessor, SJCE, JSS Science and Technology University, Mysuru在 sjce.ac.in 的电子邮件经过验证
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, India在 iisc.ac.in 的电子邮件经过验证
Vigneshwaran SubbarajuAgency for Science Technology and Research (A*STAR)在 ihpc.a-star.edu.sg 的电子邮件经过验证
Kazuyuki MuraseInternational Professional University of Technology in Osaka, University of Fukui在 u-fukui.ac.jp 的电子邮件经过验证
Dr. S. VijayachitraProfessor, Department of Electronics and Instrumentation Engineering, Kongu Engineering College在 kongu.ac.in 的电子邮件经过验证
Ankit DasIHPC, A*STAR在 ihpc.a-star.edu.sg 的电子邮件经过验证
G. Sateesh BabuSenior Scientist, Institute for Infocomm Research在 i2r.a-star.edu.sg 的电子邮件经过验证
Saras SaraswathiConsultant在 sidra.org 的电子邮件经过验证
Steve, S.H. LINGSchool of Electrical and Data Engineering, University of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Kit Yan ChanCurtin University在 curtin.edu.au 的电子邮件经过验证
Ilias AminSoftware Engineer, All Connect
Phyo Phyo SanData Scientist

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Savitha Ramasamy

Institute of Infocomm Research; Senior Member, IEEE

在 i2r.a-star.edu.sg 的电子邮件经过验证 - 首页

Machine learning Continual Learning Time Series Data Analysis Predictive Analytics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Complex-valued neural networks A Hirose Springer, 2006	1200	2006
Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis S Sun, NTP Hartono, ZD Ren, F Oviedo, AM Buscemi, M Layurova, ... Joule 3 (6), 1437-1451, 2019	245	2019
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks F Oviedo, Z Ren, S Sun, C Settens, Z Liu, NTP Hartono, S Ramasamy, ... npj Computational Materials 5 (1), 60, 2019	229	2019
An evaluation of anomaly detection and diagnosis in multivariate time series A Garg, W Zhang, J Samaran, R Savitha, CS Foo IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2508-2517, 2021	135	2021
Regional ocean wave height prediction using sequential learning neural networks R Savitha, A Al Mamun Ocean Engineering 129, 605-612, 2017	122	2017
A fully complex-valued radial basis function network and its learning algorithm R Savitha, S Suresh, N Sundararajan International Journal of Neural Systems 19 (04), 253-267, 2009	122	2009
Metacognitive learning in a fully complex-valued radial basis function neural network R Savitha, S Suresh, N Sundararajan Neural computation 24 (5), 1297-1328, 2012	118	2012
Ocean wave height prediction using ensemble of extreme learning machine NK Kumar, R Savitha, A Al Mamun Neurocomputing 277, 12-20, 2018	95	2018
A meta-cognitive learning algorithm for an extreme learning machine classifier R Savitha, S Suresh, HJ Kim Cognitive Computation 6, 253-263, 2014	85	2014
A sequential learning algorithm for complex-valued self-regulating resource allocation network-CSRAN S Suresh, R Savitha, N Sundararajan IEEE Transactions on Neural Networks 22 (7), 1061-1072, 2011	84	2011
Fast learning circular complex-valued extreme learning machine (CC-ELM) for real-valued classification problems R Savitha, S Suresh, N Sundararajan Information sciences 187, 277-290, 2012	78	2012
A new learning algorithm with logarithmic performance index for complex-valued neural networks R Savitha, S Suresh, N Sundararajan, P Saratchandran Neurocomputing 72 (16-18), 3771-3781, 2009	77	2009
A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm K Subramanian, AK Das, S Sundaram, S Ramasamy Evolving Systems 5, 219-230, 2014	74	2014
A fully complex-valued radial basis function classifier for real-valued classification problems R Savitha, S Suresh, N Sundararajan, HJ Kim Neurocomputing 78 (1), 104-110, 2012	73	2012
A complex-valued neuro-fuzzy inference system and its learning mechanism K Subramanian, R Savitha, S Suresh Neurocomputing 123, 110-120, 2014	68	2014
A meta-cognitive learning algorithm for a fully complex-valued relaxation network R Savitha, S Suresh, N Sundararajan Neural Networks 32, 209-218, 2012	68	2012
Projection-based fast learning fully complex-valued relaxation neural network R Savitha, S Suresh, N Sundararajan IEEE Transactions on Neural Networks and Learning Systems 24 (4), 529-541, 2013	64	2013
Supervised learning with complex-valued neural networks S Suresh, N Sundararajan, R Savitha Springer, 2013	52	2013
Database independent human emotion recognition with meta-cognitive neuro-fuzzy inference system K Subramanian, VB Radhakrishnan, S Ramasamy 2014 IEEE ninth international conference on intelligent sensors, sensor …, 2014	51	2014
A metacognitive complex-valued interval type-2 fuzzy inference system K Subramanian, R Savitha, S Suresh IEEE Transactions on Neural Networks and Learning Systems 25 (9), 1659-1672, 2014	36	2014

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